Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

Over time, the temporal benefits of cognitive knowledge graphs can affect almost any business problem, including basic issues of data management such as data quality, data cleansing and integration.

Graph databases are powerful new tools for managing and analyzing heterogeneous data across the enterprise. Most importantly, organizations are beginning tounderstand the specific use cases that graph ...

The bottom line is that “graph databases are a type of NoSQL database that stores data as a network of interconnected nodes and edges,” Nadkarni explained. “They manage complex relationships between ...

The functionality of knowledge graphs is anticipated to expand further as AI advancements, real-time data analysis, and interoperability improvements continue.

June 29, 2020 – Nebula Graph is now commercially available as the only database that can store and process billions of data points with trillions of relational connections in a shared-nothing ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Learn how to interpret and construct graphs in this guide for students aged 11 to 14 from BBC Bitesize.